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首页> 外文期刊>Public health reports >Using GIS-based density maps of HIV surveillance data to identify previously unrecognized geographic foci of HIV burden in an urban epidemic.
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Using GIS-based density maps of HIV surveillance data to identify previously unrecognized geographic foci of HIV burden in an urban epidemic.

机译:使用基于GIS的HIV监测数据密度图来识别以前无法识别的城市流行中HIV负担的地理病源。

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摘要

Spatial analysis lies at the core of methods used to understand public health surveillance data, perhaps most famously employed by John Snow in the identification of the source of a cholera epidemic in 19th century London. Geographic distribution of disease is useful information not only because it can help identify the cause of an outbreak and suggest a means of interrupting the spread of disease, but also because understanding how the burden of disease aligns with political and bureaucratic borders assists in policy decisions and judicious allocation of resources. For sexually transmitted diseases, including human immunodeficiency virus (HIV), geographic distribution is especially salient because people tend to have sex with those who live close to them geographically.
机译:空间分析是用于理解公共卫生监视数据的方法的核心,这可能是约翰·斯诺最著名的方法,用于识别19世纪伦敦的霍乱流行源。疾病的地理分布是有用的信息,不仅因为它可以帮助确定疾病爆发的原因并提出中断疾病传播的方法,而且还因为了解疾病的负担如何与政治和官僚主义边界保持一致有助于决策和明智地分配资源。对于包括人类免疫缺陷病毒(HIV)在内的性传播疾病,地理分布尤其重要,因为人们倾向于与居住在地理位置附近的人发生性关系。

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